↓ Skip to main content
  1. Posts/

TradingAgents: Multi-Agent LLM Financial Trading Framework

··227 words·2 mins·

📈 A Complete Team of AI Analysts for Trading
#

TradingAgents simulates the dynamics of a real trading firm — but with LLM agents instead of humans. 🤖

🏢 The Framework Structure
#

Just like a real investment firm:

Analyst Team:

  • 📊 Fundamentals Analyst — evaluates company financials
  • �� Sentiment Analyst — aggregates news, StockTwits, and Reddit
  • 📰 News Analyst — interprets macro event impacts
  • 📉 Technical Analyst — detects patterns with MACD, RSI, etc.

Research Team:

  • 🐂 Bullish and bearish researchers in structured debate

Management:

  • 📋 Trader Agent — makes decisions based on all reports
  • ⚖️ Risk Management — evaluates volatility and liquidity
  • 💼 Portfolio Manager — approves/rejects transactions

🛠️ Multi-LLM and Open Source
#

Supports: OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, GLM, and local Ollama.

💡 Explanation in a nutshell
#

TradingAgents is an open-source multi-agent framework for financial trading research with LLMs. It replicates the structure of a real investment firm: specialized analysts (fundamental, sentiment, technical), researchers in debate, a trader agent, and risk management. Agents debate each other to find the optimal strategy. Built with LangGraph, it supports dozens of LLM providers and includes a decision log with continuous learning. ⚠️ Not financial advice.

More information at the link 👇

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
Author
Juan Pedro Bretti Mandarano